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ZuSE-KI-AVFVerbundprojekt: Anwendungsspezifischer KI-Prozessor für die intelligente Sensorsignalverarbeitung im autonomen Fahren; Teilvorhaben: Konzipierung und Implementierung einer FPGA- und ASIC-basierten Vektorprozessarchitektur

Project: Research

Participants

Research Organisations

External collaborative partners

  • Leibniz University Hannover (lead)
  • Dream Chip Technologies GmbH
  • Robert Bosch GmbH
  • Cadence Design Systems
  • RWTH Aachen University
  • University of Kaiserslautern
  • Technische Universität Braunschweig
1 - 2 out of 2Page size: 20
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Publications

  1. 2023

  2. Published

    ZuSE KI-AVF: Application-Specific AI Processor for Intelligent Sensor Signal Processing in Autonomous Driving

    Thieu, G. B., Gesper, S., Payá-Vayá, G., Riggers, C., Renke, O., Fiedler, T. N., Marten, J., Stuckenberg, T., Blume, H., Weis, C., Steinert, L., Sudarshan, C., Wehn, N., Reimann, L. M., Leupers, R., Beyer, M., Köhler, D., Jauch, A., Borrmann, J. M., Jaberansari, S., Berthold, T., Blawat, M., Kock, M., Schewior, G., Benndorf, J., Kautz, F., Bluethgen, H. & Sauer, C., 2023, 2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. (Design, automation and test in Europe conference).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  3. 2022

  4. Published

    Fault-tolerant Radar Signal Processing using Selective Observation Windows and Peak Detection

    Beyer, M., Guntoro, A. & Blume, H., 2022, 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings. p. 1876-1880 5 p. (European Signal Processing Conference; vol. 2022-August).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review